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CRM & Sales · head to head

Clay vs ClickHouse

Clay logo

Clay

CRM & Sales

Data platform for sales teams

From
On request
Rated
-
Full reviewWebsite
ClickHouse logo

ClickHouse

Database & Data Management

Fast open-source column-oriented database for real-time analytics

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only ClickHouse has a free tier, so it costs nothing to try first.
  • Each has a real cost: Clay two separate meters run at once, actions and data credits, and a plan can exhaust either independently; ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
  • They diverge on capability: Clay covers Data enrichment, ClickHouse covers Column-oriented Storage.

Where they differ

Only the attributes on which Clay and ClickHouse actually diverge.

Attributes where Clay and ClickHouse differ
AttributeClayClickHouse
Starting priceOn requestFree
Pricing modelquoteUnknown
Free tierNoYes
PlatformsWebLinux, macOS, Windows (via Docker)
CategoryCRM & SalesDatabase & Data Management

Identical on both: user rating (Not yet rated), founded (2021).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Clay

  • Data enrichment
  • Contact management
  • Workflow automation
  • Integration
  • API access
  • Salesforce
  • HubSpot
  • Zapier

Only in ClickHouse

  • Column-oriented Storage
  • Real-time Analytics
  • SQL Support
  • Linear Scalability
  • Data Compression
  • Vectorized Query Execution
  • Approximate Calculations
  • Kafka

Both cover

  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Clay

  • Enriching prospect lists from multiple data providers in one tablenot ClickHouse
  • Building automated outbound research and outreach workflowsnot ClickHouse

ClickHouse

  • Business intelligencenot Clay
  • Data warehousingnot Clay
  • Real-time analyticsnot Clay
  • Reportingnot Clay
  • Machine learningnot Clay

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Clay

  • Two separate meters run at once, actions and data credits, and a plan can exhaust either independently
  • Data credit overage is sold at a 30% premium over the plan rate, so exceeding the allowance costs more per unit than planning for it
  • The free plan allows 500 actions, 100 data credits and 200 rows per table
  • The entry paid plan starts at $167 a month, and both paid prices are starting figures rather than fixed
  • The free plan cannot buy overage at all, so hitting the limit stops work rather than billing for it

ClickHouse

  • Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
  • Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
  • Experimental vector search support, not production-ready for vector operations
  • Different query syntax from standard SQL requiring migration planning
  • Limited JOIN capabilities compared to traditional relational databases
  • Migration complexity with 2-4 weeks estimated for data type mapping and query translation

Pricing, plan by plan

Clay

On request
  • Pricing upon request$undefined/month
    • Data enrichment
    • Integration
    • Support

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

Which should you pick?

Choose Clay if

  • You need data enrichment.
  • You also want contact management.
Clay review

Choose ClickHouse if

  • You need column-oriented storage.
  • You want to start without paying.
  • You work on Linux, macOS, Windows (via Docker).
  • You also want real-time analytics.
ClickHouse review

Questions people ask

Is Clay or ClickHouse better?
Neither clearly leads. Clay starts at On request and ClickHouse at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Clay or ClickHouse?
ClickHouse has a free tier; the other does not. Paid plans start at On request for Clay and Free for ClickHouse.
Does Clay or ClickHouse run on more platforms?
Clay runs on Web. ClickHouse runs on Linux, macOS, Windows (via Docker).
Can I use ClickHouse for free?
Yes. ClickHouse has a free tier, so you can try it without paying. Clay starts at On request.
What is Clay best used for?
Clay is most often used for enriching prospect lists from multiple data providers in one table, building automated outbound research and outreach workflows. Of those, enriching prospect lists from multiple data providers in one table and building automated outbound research and outreach workflows are not what ClickHouse is typically brought in for.
What can Clay do that ClickHouse cannot?
Clay covers Data enrichment, Contact management, Workflow automation, Integration. ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Both handle Web support.

Answered from the vendors’ own pages

ClickHouse: What is ClickHouse best used for?

ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.

Source
ClickHouse: Does ClickHouse support transactions?

ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.

Source
ClickHouse: How does ClickHouse compare to PostgreSQL?

ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.

Source
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